TY  - CPAPER
U1  - Konferenzpaper
A1  - Kläbe, Steffen
A1  - Hagedorn, Stefan
A1  - Gropengießer, Francis
A1  - Schweser, Thomas
T1  - Beyond the Data Warehouse: Modern and fast Data Analytics in Actian Vector.
T2  - Datenbanksysteme für Business, Technologie und Web (BTW 2025)
N2  - Modern data analytics cover a wide range of tools and frameworks besides traditional SQL-based analytics, leading to the need to transform traditional data warehouse solutions into data platforms. In this paper we focus on ecosystem integration, query performance and ease-of-use as key differentiators. We spotlight capabilities we introduced into our analytical database system Actian Vector with respect to these differentiators and highlight challenges we faced when applying research ideas to a production-ready system. The described capabilities cover ecosystem integrations with Apache Spark and a containerized services framework, cost model optimizations for robust query planning and several features to improve usability and manageability of the system.
AB  - Modern data analytics cover a wide range of tools and frameworks besides traditional SQL-based analytics, leading to the need to transform traditional data warehouse solutions into data platforms. In this paper we focus on ecosystem integration, query performance and ease-of-use as key differentiators. We spotlight capabilities we introduced into our analytical database system Actian Vector with respect to these differentiators and highlight challenges we faced when applying research ideas to a production-ready system. The described capabilities cover ecosystem integrations with Apache Spark and a containerized services framework, cost model optimizations for robust query planning and several features to improve usability and manageability of the system.
Y1  - 2025
U6  - https://doi.org/10.18420/BTW2025-35
DO  - https://doi.org/10.18420/BTW2025-35
SP  - 691
EP  - 697
S1  - 7
ER  -